Optimal Parameter Matching for Working Condition of Combine Harvester
Authors
Min Liao, Qiang Wang, Huapei Zhang
Corresponding Author
Min Liao
Available Online October 2015.
- DOI
- 10.2991/icmii-15.2015.53How to use a DOI?
- Keywords
- Parameter matching; Genetic algorithm; Fuzzy logic control; Combine harvester
- Abstract
To improve harvesting productivity, optimal parameter matching for working condition of combine harvester is studied. Interrelationship of crucial working parameter of combine harvester has been discussed. And a fuzzy logic controller (FLC) was presented by making use of feeding rate, grain moisture content, forward speed and cylinder speed. Fitness function of genetic algorithm was established based on the highest productivity of combine. Genetic-fuzzy algorithm (GFA) was utilized to solve the optimal combination. The results show that the presented FLC and GFA are feasible and efficiency.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Min Liao AU - Qiang Wang AU - Huapei Zhang PY - 2015/10 DA - 2015/10 TI - Optimal Parameter Matching for Working Condition of Combine Harvester BT - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics PB - Atlantis Press SP - 295 EP - 299 SN - 2352-538X UR - https://doi.org/10.2991/icmii-15.2015.53 DO - 10.2991/icmii-15.2015.53 ID - Liao2015/10 ER -